code: def predict(self, tokens):
      tokens = [(token, "X") for token in tokens]
      x = self.transformer.transform([tokens])[0]
      tags = self.estimator.tag(x)
      return tags
  
file_path: underthesea/underthesea/models/crf_sequence_tagger.py
imports: from os.path import join
  from pathlib import Path
  import joblib
  import pycrfsuite
  from underthesea.transformer.tagged import TaggedTransformer
label_desc: Use image node_id 5 for calling the CRFSequenceTagger obj's underlying member method code with example usage: obj.predict(tokens) and returns: tags